The Oxford Dictionary named “post-truth” as the Word of the Year for 2016, officially ushering in the post-truth era. The truth of post-truth is far more complex than its literal meaning. Who defines fake news? And now, with the rise of AI, texts and images generated by AI are becoming increasingly difficult to distinguish. In the era of AI-truth, who has the right to explain and own the truth? Who defines the truth? Is it the authorities, news publishers or mass communicators?
From Post-Truth to AI-Truth, Photo: Yanlin Li
Yanlin Li (CN)
Yanlin LI is an interdisciplinary new media artist and researcher. She is pursuing a PhD degree in Art and Emerging Technology at National Tsing Hua University. She specializes in immersive experience design, visual art, sound art, experimental film and AI art. She is committed to incorporating emerging technologies into artistic creations.
Drew Cavicchi (US)
Drew Cavicchi is an interdisciplinary artist whose work encompasses installation, film, photography, technology, and sculpture, with a focus on the human-nature relationship. He has been an artist in residence at The Residency Project and has served as a visiting artist at PUNCH Projects. He is pursuing his M.S. in Computer Science at NTHU, Taiwan.
Tang-Chen Chang (TW)
Tang-Chen Chang is pursuing his PhD degree in the Institute of Information System and Applications at National Tsing-Hua University in Taiwan. His research focuses on computer vision of action recognition. His recent work involves developing AI systems to analyze thehuman actions in videos of table tennis.